Mobile Networks and Applications

, Volume 18, Issue 1, pp 148–155 | Cite as

A Survey of Energy Efficient Wireless Transmission and Modeling in Mobile Cloud Computing

  • Yong Cui
  • Xiao Ma
  • Hongyi Wang
  • Ivan Stojmenovic
  • Jiangchuan Liu


The emergence of mobile cloud computing (MCC) indicates that increasingly abundant applications are available, thus deeming energy problems even more significant. To achieve energy optimization in mobile systems, power consumption involved with each component or application need to be estimated prior to execution. In this paper, we present a survey on the universal energy estimation model for mobile devices. Additionally, due to the significance of wireless network interface card (WNIC) in the power use of mobile devices, considerable researches have been devoted to a low-power design of the WNIC (i.e., Cellular and WiFi). These efforts have allowed us to provide a comprehensive summary of recent work on transmission energy savings. Finally, we conclude the survey and discuss the future research directions.


mobile cloud computing energy efficiency energy model wireless communication 


  1. 1.
    Mccforum (2011) Accessed 4 Oct 2011
  2. 2.
    Agarwal Y, Chandra R, Wolman A, Bahl P, Chin K, Gupta R (2007) Wireless wakeups revisited: energy management for voip over wi-fi smartphones. In: Proceedings of the 5th international conference on mobile systems, applications and services. ACM, pp 179–191Google Scholar
  3. 3.
    Anand M, Nightingale E, Flinn J (2005) Self-tuning wireless network power management. Wirel Netw 11(4):451–469CrossRefGoogle Scholar
  4. 4.
    Balasubramanian N, Balasubramanian A, Venkataramani A (2009) Energy consumption in mobile phones: a measurement study and implications for network applications. In: Proceedings of the 9th ACM SIGCOMM conference on internet measurement conference. ACM, pp 280–293Google Scholar
  5. 5.
    Chandra R, Mahajan R, Moscibroda T, Raghavendra R, Bahl P (2008) A case for adapting channel width in wireless networks. In: ACM SIGCOMM computer communication review, vol 38. ACM, pp 135–146Google Scholar
  6. 6.
    IEEE Computer Society LAN MAN Standards Committee (1997) Wireless lan medium access control (mac) and physical layer (phy) specifications. In: Inst. Electr. Electron. Eng., New York, Tech. Rep.802.11-1997Google Scholar
  7. 7.
    Demirbas M, Bayir M, Akcora C, Yilmaz Y, Ferhatosmanoglu H (2010) Crowd-sourced sensing and collaboration using twitter. In: 2010 IEEE international symposium on a world of wireless mobile and multimedia networks (WoWMoM). IEEE, pp. 1–9Google Scholar
  8. 8.
    Dieter W, Datta S, Kai W (2005) Power reduction by varying sampling rate. In: Proceedings of the 2005 international symposium on low power electronics and design. ACM, pp 227–232Google Scholar
  9. 9.
    Dogar F, Steenkiste P, Papagiannaki K (2010) Catnap: exploiting high bandwidth wireless interfaces to save energy for mobile devices. In: Proceedings of the 8th international conference on mobile systems, applications, and services. ACM, pp 107–122Google Scholar
  10. 10.
    Dong M, Zhong L (2011) Self-constructive high-rate system energy modeling for battery-powered mobile systems. In: Proceedings of the 9th international conference on mobile systems, applications, and services. ACM, pp 335–348Google Scholar
  11. 11.
    Falaki H, Mahajan R, Kandula S, Lymberopoulos D, Govindan R, Estrin D (2010) Diversity in smartphone usage. In: Proceedings of the 8th international conference on mobile systems, applications, and services. ACM, pp 179–194Google Scholar
  12. 12.
    Flautner K, Reinhardt S, Mudge T (2002) Automatic performance setting for dynamic voltage scaling. Wirel Netw 8(5):507–520MATHCrossRefGoogle Scholar
  13. 13.
    Krashinsky R, Balakrishnan H (2002) Minimizing energy for wireless web access with bounded slowdown. In: Proceedings of the 8th annual international conference on Mobile computing and networking. ACM, pp 119–130Google Scholar
  14. 14.
    Labiod H, Badra M (2007) New technologies, mobility and security. Springer-VerlagGoogle Scholar
  15. 15.
    Lehr W, McKnight L (2003) Wireless internet access: 3g vs. wifi? Telecommun Policy 27(5–6):351–370CrossRefGoogle Scholar
  16. 16.
    Liu H, Zhang Y, Zhou Y (2011) Tailtheft: leveraging the wasted time for saving energy in cellular communications. In: Proceedings of the 6th international workshop on MobiArch. ACM, pp 31–36Google Scholar
  17. 17.
    Ma X, Liu J, Jiang H (2011) Energy-efficient mobile data uploading from high-speed trains. Mobile Netw Appl 17(1):143–151CrossRefGoogle Scholar
  18. 18.
    Manweiler J, Choudhury R (2011) Avoiding the rush hours: Wifi energy management via traffic isolation. In: Proc. of ACM MobiSysGoogle Scholar
  19. 19.
    Murray D, Yoneki E, Crowcroft J, Hand S (2010) The case for crowd computing. In: Proceedings of the 2nd ACM SIGCOMM workshop on networking, systems, and applications on mobile handhelds. ACM, pp 39–44Google Scholar
  20. 20.
    Pathak A, Hu Y, Zhang M, Bahl P, Wang Y (2011) Fine-grained power modeling for smartphones using system call tracing. In: Proceedings of the 6th conference on computer systems. ACM, pp 153–168Google Scholar
  21. 21.
    Qian F, Wang Z, Gerber A, Mao Z, Sen S, Spatscheck O (2010) Top: tail optimization protocol for cellular radio resource allocation. In: 2010 18th IEEE international conference on network protocols (ICNP). IEEE, pp 285–294Google Scholar
  22. 22.
    Qian F, Wang Z, Gerber A, Mao Z, Sen S, Spatscheck O (2011) Profiling resource usage for mobile applications: a cross-layer approach. In: Proceedings of MobisysGoogle Scholar
  23. 23.
    Rahmati A, Zhong L (2010) A longitudinal study of non-voice mobile phone usage by teens from an underserved urban community. Arxiv preprint arXiv:1012.2832
  24. 24.
    Rozner E, Navda V, Ramjee R, Rayanchu S (2010) Napman: network-assisted power management for wifi devices. In: Proceedings of the 8th international conference on mobile systems, applications, and services. ACM, pp 91–106Google Scholar
  25. 25.
    Schulman A, Navda V, Ramjee R, Spring N, Deshpande P, Grunewald C, Jain K, Padmanabhan V (2010) Bartendr: a practical approach to energy-aware cellular data scheduling. In: Proceedings of the 16th annual international conference on mobile computing and networking. ACM, pp 85–96Google Scholar
  26. 26.
    Shye A, Scholbrock B, Memik G (2009) Into the wild: studying real user activity patterns to guide power optimizations for mobile architectures. In: Proceedings of the 42nd annual IEEE/ACM international symposium on microarchitecture. ACM, pp 168–178Google Scholar
  27. 27.
    Zhang L, Tiwana B, Qian Z, Wang Z, Dick R, Mao Z, Yang L (2010) Accurate online power estimation and automatic battery behavior based power model generation for smartphones. In: Proceedings of the 8th IEEE/ACM/IFIP international conference on hardware/software codesign and system synthesis. ACM, pp 105–114Google Scholar
  28. 28.
    Zhang X, Shin K (2011) E-mili: energy-minimizing idle listening in wireless networks. In: Proceedings of the 17th annual international conference on mobile computing and networking. ACM, pp 205–216Google Scholar
  29. 29.
    Zhao B, Zheng Q, Cao G (2011) Energy-aware web browsing in 3g based smartphones. Power 1(1.4):1–6Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Yong Cui
    • 1
  • Xiao Ma
    • 1
  • Hongyi Wang
    • 1
  • Ivan Stojmenovic
    • 2
  • Jiangchuan Liu
    • 3
  1. 1.Department of Computer ScienceTsinghua UniversityBeijingPeople’s Republic of China
  2. 2.School of Information Technology and EngineeringUniversity of OttawaOttawaCanada
  3. 3.School of Computer ScienceSimon Fraser UniversityBurnabyCanada

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